Results 31 to 40 of about 568,857 (297)

CIDA: An integrated software for the design, characterisation and global comparison of microarrays

Journal of Integrative Bioinformatics, 2007
Microarray technology has had a significant impact in the field of systems biology involving the investigation into the biological systems that regulate human life. Identifying genes of significant interest within any given disease on an individual basis
Khalid Sabah, Khan Mohsin, Symonds Alistair, Fraser Karl, Wang Ping, Liu Xiaohui, Li Suling   +6 more
doaj   +1 more source

Predictive analysis of microarray data [PDF]

, 2014
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a ...
F., Paulo C. Marques, Pereira, Carlos A. de B.   +1 more
core   +1 more source

A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Recent studies have shown that ensemble feature selection (EFS) has achieved outstanding performance in microarray data classification. However, some issues remain partially resolved, such as suboptimal aggregation methods and non-optimised underlying FS
Hüseyin Güney, Hüseyin Öztoprak
doaj   +1 more source

Differential gene expression graphs: A data structure for classification in DNA microarrays [PDF]

, 2008
This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and ...
Benso, Alfredo, Di Carlo, Stefano, Politano, Gianfranco Michele Maria, Sterpone, Luca   +3 more
core   +1 more source

Identifying functionally relevant candidate genes for inflexible ethanol intake in mice and humans using a guilt‐by‐association approach

Brain and Behavior, 2020
Gene prioritization approaches are useful tools to explore and select candidate genes in transcriptome studies. Knowing the importance of processes such as neuronal activity, intracellular signal transduction, and synapse plasticity to the development ...
Luana Martins de Carvalho, Pablo A. S. Fonseca, Isadora M. Paiva, Samara Damasceno, Agatha S. B. Pedersen, Daniel daSilva e Silva, Corinde E. Wiers, Nora D. Volkow, Ana L. Brunialti Godard   +8 more
doaj   +1 more source

A statistical framework for testing functional categories in microarray data [PDF]

, 2008
Ready access to emerging databases of gene annotation and functional pathways has shifted assessments of differential expression in DNA microarray studies from single genes to groups of genes with shared biological function.
Barry, William T., Nobel, Andrew B., Wright, Fred A.   +2 more
core   +4 more sources

Integrative Model-based clustering of microarray methylation and expression data [PDF]

, 2012
In many fields, researchers are interested in large and complex biological processes. Two important examples are gene expression and DNA methylation in genetics.
Booth, James G., Figueroa, Maria E., Kormaksson, Matthias, Melnick, Ari   +3 more
core   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes

AppliedMath, 2023
Hepatocellular carcinoma (HCC) is the primary liver cancer that occurs the most frequently. The risk of developing HCC is highest in those with chronic liver diseases, such as cirrhosis brought on by hepatitis B or C infection and the most common type of
Md Easin Hasan, Fahad Mostafa, Md S. Hossain, Jonathon Loftin   +3 more
doaj   +1 more source

Nonlinear Dimension Reduction for Microarray Data [PDF]

, 2007
[Biomedical ...
Leblond, Frédéric, Lesage, Frédéric, Peshko, Olesya, Shan, Shidong   +3 more
core